Castleton Commodities International

Applied AI Engineer

Castleton Commodities International
US Houston, TX, US
Onsite 2026-07-04
Estimated salary · Houston
~ $78,800 - $136,900
Low
$78K
Median
$103K
High
$136K
Market in Houston · BLS OEWS 2025
Estimated net pay
$5,355 - $8,736
/month · 18% withheld
after tax & contributions · on the estimated salary · Single, no dependents

Job description

We are seeking a talented and detail\-oriented Applied AI Engineer to join our Global Data Science team and help internal technology and commercial teams adopt CCI’s approved AI tooling effectively. The ideal candidate will combine technical fluency, strong communication skills, and practical experience using AI to improve real business workflows. This role will focus on context engineering, AI tooling configuration, assistant and knowledge\-base setup, workflow discovery, evaluation, documentation, and stakeholder enablement. The analyst will work hands\-on with CCI’s GenAI platform and approved enterprise AI tools to translate business needs into reliable, governed, and reusable AI\-enabled solutions.**Responsibilities** * Partner with traders, analysts, operators, technologists, and business stakeholders to identify workflows where AI can reduce manual effort, improve quality, or accelerate analysis. * Configure and support approved AI tools and platform capabilities, including GenAI projects, agents, skills, knowledge bases, SQL resources, model presets, and MCP\-enabled tools. * Design and maintain high\-quality AI context, including system instructions, prompt templates, examples, reference materials, retrieval sources, workflow guardrails, and output formats. * Support RAG and document\-intelligence workflows, including document ingestion, chunking, metadata design, retrieval quality, structured extraction, and validation with subject\-matter experts. * Evaluate AI outputs for accuracy, groundedness, completeness, formatting, usability, and business value; use feedback and test cases to improve configurations over time. * Create reusable playbooks, templates, demos, and reference materials that help technology and commercial teams use AI safely and effectively. * Communicate AI capabilities, limitations, risks, and recommended usage patterns clearly to both technical and non\-technical stakeholders. * Stay current on practical advancements in applied

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